Add limitation regarding EFS file system

- https://seqera.atlassian.net/browse/PLAT-997

platform_versioned_docs/version-24.2/data_studios/index.mdx

@@ -26,6 +26,10 @@ Before you get started, you need the following:
 Currently, Data Studios only supports AWS Batch compute environments that **do not** have Fargate enabled.
 :::
 
+## Limitations
+
+If you configured your AWS Batch compute environment to include an EFS file system with **EFS file system > EFS mount path**, the mount path cannot be the same as your work directory. When the work directory and EFS mount path are identical, the Data Studio snapshots fail causing a data studio instance to fail. For more information on AWS Batch configuration, see [AWS Batch][aws-batch].
+
 ## Container image templates
 
 Data Studios provides four container image templates: JupyterLab, RStudio Server, Visual Studio Code, and Xpra. The image templates install a very limited number of packages when the session container is built. You can install additional packages as needed during a session.
@@ -108,5 +112,6 @@ The cleanup process is a best effort and not guaranteed. Seqera attempts to remo
 [vsc]: https://code.visualstudio.com/
 [Wave]: https://seqera.io/wave/
 
+[aws-batch]: ../compute-envs/aws-batch.mdx
 [custom-envs]: ./custom-envs.mdx
 [build-status]: ./custom-envs.mdx#build-status